MessyKitchens achieves high-precision monocular 3D scene reconstruction using the MOD algorithm, significantly enhancing the physical plausibility of inter-object contacts.

Junaid Ahmed Ansari, Ran Ding, Fabio Pizzati et al.

SegviGen repurposes 3D generative models for part segmentation, achieving a 40% improvement in interactive segmentation using only 0.32% labeled data.

Lin Li, Haoran Feng, Zehuan Huang et al.

M^3 integrates multi-view foundation models with monocular Gaussian splatting SLAM, reducing ATE RMSE by 64.3%.

Kerui Ren, Guanghao Li, Changjian Jiang et al.

PKINet-v2 combines anisotropic strip and square kernels to build multi-scale, geometry-adaptive features, achieving 80.46% mAP and 54.6 FPS on DOTA-v1.0.

Xinhao Cai, Liulei Li, Gensheng Pei et al.

MSRAMIE employs structured multimodal reasoning with Tree-of-States and Graph-of-References to improve multi-instruction image editing by over 15%.

Zhaoyuan Qiu, Ken Chen, Xiangwei Wang et al.

EVPV gates PRM rewards by visual-premise reliability, reaching 67.46% Macro-F1 and improving Best-of-8 reranking.

Junxin Wang, Dai Guan, Weijie Qiu et al.

DualPrim achieves compact 3D reconstruction using positive and negative superquadrics, enhancing structural expressiveness.

Xiaoxu Meng, Zhongmin Chen, Bo Yang et al.

Introduced a GPU-parallelized differentiable straightest geodesics algorithm, enhancing efficiency and accuracy for learning on 3D meshes.

Hippolyte Verninas, Caner Korkmaz, Stefanos Zafeiriou et al.

PUMA model improves success rate by 6.3% in dynamic environments using historical optical flow and world queries.

Heng Fang, Shangru Li, Shuhan Wang et al.

GlyphPrinter enhances glyph accuracy using Region-Grouped Direct Preference Optimization, surpassing existing methods.

Xincheng Shuai, Ziye Li, Henghui Ding et al.

Tri-Prompting method significantly outperforms Phantom and DaS in multi-view subject consistency and motion accuracy.

Zhenghong Zhou, Xiaohang Zhan, Zhiqin Chen et al.

HSImul3R uses physics feedback to optimize stable human-scene interaction 3D reconstructions, significantly enhancing simulation stability.

Yukang Cao, Haozhe Xie, Fangzhou Hong et al.

FreeTalk is an emotion-driven 3D talking head animation framework supporting arbitrary topology.

Federico Nocentini, Thomas Besnier, Claudio Ferrari et al.

RieMind constructs explicit 3D scene graphs (3DSG) for static indoor scene reasoning, outperforming previous methods with up to 16% improvement under ideal perceptual conditions.

Fernando Ropero, Erkin Turkoz, Daniel Matos et al.

Proposes STALL, a training-free video detector using spatial-temporal likelihoods, outperforming baselines with 0.85 average AUC.

Omer Ben Hayun, Roy Betser, Meir Yossef Levi et al.

VLA-Thinker boosts Vision-Language-Action models via dynamic image reasoning, achieving 97.5% success on LIBERO.

Chaoyang Wang, Wenrui Bao, Sicheng Gao et al.

Proposes Tucker Adaptation (TuKA) for high-order tensor representation of multi-hierarchical navigation knowledge, enabling lifelong multi-scene VLN.

Xudong Wang, Gan Li, Zhiyu Liu et al.

RetimeGS introduces explicit temporal modeling in 4D Gaussian Splatting, significantly reducing ghosting artifacts and enabling smooth continuous-time scene reconstruction.

Xuezhen Wang, Li Ma, Yulin Shen et al.

Visual-ERM enhances vision-to-code tasks with fine-grained visual rewards, significantly outperforming existing models.

Ziyu Liu, Shengyuan Ding, Xinyu Fang et al.

STEVO-Bench evaluates video world models' ability to evolve state during observation interruptions, revealing limitations.

Ziqi Ma, Mengzhan Liufu, Georgia Gkioxari